Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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20 results for Abhishek Kumar

∆-encoder: an effective sample synthesis method for few-shot object recognition
- - Eli Schwartz
  - Leonid Karlinsky
  - et al.
- 2018
- NeurIPS 2018
Co-regularized alignment for unsupervised domain adaptation
- - Abhishek Kumar
  - Kahini Wadhawan
  - et al.
- 2018
- NeurIPS 2018
Variational inference of disentangled latent concepts from unlabeled observations
- - Abhishek Kumar
  - Prasanna Sattigeri
  - et al.
- 2018
- ICLR 2018
Semi-supervised learning with GANs: Manifold invariance with improved inference
- - Abhishek Kumar
  - Prasanna Sattigeri
  - et al.
- 2017
- NeurIPS 2017
Incorporating relational knowledge into word representations using subspace regularization
- - Abhishek Kumar
  - Jun Araki
- 2016
- ACL 2016
Fast conical hull algorithms for near-separable non-negative matrix factorization
- - Abhishek Kumar
  - Vikas Sindhwani
  - et al.
- 2013
- ICML 2013
Near-separable non-negative matrix factorization with ℓ₁ and Bregman loss functions
- - Abhishek Kumar
  - Vikas Sindhwani
- 2015
- SDM 2015
A scale invariant measure of flatness for deep network minima
- - Akshay Rangamani
  - Nam H. Nguyen
  - et al.
- 2021
- ICASSP 2021
Color-theoretic experiments to understand unequal gender classification accuracy from face images
- - Vidya Muthukumar
  - Tejaswini Pedapati
  - et al.
- 2019
- CVPRW 2019
Spottune: Transfer learning through adaptive fine-tuning
- - Yunhui Guo
  - Humphrey Shi
  - et al.
- 2019
- CVPR 2019